Instructions to use alistvt/docalog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alistvt/docalog with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="alistvt/docalog")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("alistvt/docalog") model = AutoModelForQuestionAnswering.from_pretrained("alistvt/docalog", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd5f95eed57995ede374d4d2e216bf1030742ddd751f8ed9993e0b7f3cd3deda
- Size of remote file:
- 1.42 GB
- SHA256:
- 6d09e53e4939ae22772449623ec507a423d835bd15e26f549f225763205d823c
路
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